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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 10641
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    Explanations

    terms related to quarterbacks and their performance statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    исленность
    -0.48
    morrow
    -0.43
     participé
    -0.41
    érables
    -0.40
    inemann
    -0.40
    ulipas
    -0.40
    স্ত
    -0.40
     Bio
    -0.39
    ври
    -0.39
    SPJ
    -0.38
    POSITIVE LOGITS
    Personensuche
    0.95
     quarterback
    0.84
     quarterbacks
    0.78
    ValueStyle
    0.78
    AndroidJUnit
    0.74
     ویکی‌پدی
    0.73
     تضيفلها
    0.70
    FunctionFlags
    0.68
     kaynağından
    0.67
    OGND
    0.66
    Activations Density 0.398%

    No Known Activations